Auxiliary rehabilitation method for stroke patient and related equipment

Abstract

The invention discloses an auxiliary rehabilitation method for a stroke patient and related equipment. The method comprises the following steps: detecting physical sign information of a hand of a patient, wherein the physical sign information comprises joint motion range information, muscle force information and muscular tension information; matching training music for the patient based on the physical sign information of the hand of the patient; a training instruction is generated according to the rhythm of the training music so as to assist rehabilitation, and the training instruction is used for indicating the hand movement content. The problems that in an existing rehabilitation device combining music and gloves, a single instruction or the combination of single music rhythm and movement is commonly used, synchronous stimulation of an audio-visual channel is lacked, and the oneness and limitation of the training process are ignored can be solved.

Description

Technical Field

[0001] The embodiments of the present application relate to the field of smart medical care, and more specifically, the present invention relates to a method for assisting the rehabilitation of stroke patients and related equipment. Background Art

[0002] The incidence of stroke is increasing year by year and is becoming younger, and there are many patients suffering from hand dysfunction caused by it.

[0003] Currently, existing rehabilitation devices that combine music and gloves often use a single instruction or a single musical rhythm in combination with movement, lacking synchronous stimulation of the audio-visual pathway and ignoring the singleness and limitations of the training process. Summary of the invention

[0004] A series of simplified concepts are introduced in the Summary of the Invention, which will be further described in detail in the Detailed Description of the Invention. The Summary of the Invention does not mean to attempt to define the key features and essential technical features of the claimed technical solution, nor does it mean to attempt to determine the scope of protection of the claimed technical solution.

[0005] Existing rehabilitation devices that combine music and gloves ignore the impact of music rhythm on motor control and brain plasticity, including the impact of the synchronization of rhythm, instructions and movement on movement process and performance.

[0006] Studies have shown that when performing motor imagery tasks under auditory stimulation, the activity of the prefrontal cognitive cortex and parietal motor cortex of the brain increases significantly, especially under verb stimulation, the activity of the contralateral motor cortex increases significantly, which enhances the effect of motor imagery; the connection between rhythm and movement is promoted to a certain extent by the left cerebellum and fusiform gyrus. Rhythm can not only affect the flow of movements and motor performance, but also enhance neuromuscular coordination and motor efficiency and reduce metabolic costs when performed with it. Based on this, using rhythm in music training can improve motor function by promoting the brain's neuroplasticity and enabling patients to obtain more refined movements.

[0007] Different types of sports may require different styles of music to achieve optimal performance. For example, skill-based sports and confrontational sports may require fast-tempo music, which can improve the subjective flow level and physiologically enhance the average power value of the Delta, Theta, Alpha and Beta frequency bands of the subconscious brain waves, thereby facilitating smooth movement. For patients with high tension and spasticity in the hands, soothing music can be used to relax the patient's physiology and psychology to a certain extent, and then combined with hand-related movements to improve sports performance.

[0008] In order to solve the problem that the existing rehabilitation devices combining music and gloves often use a single instruction or a single music rhythm combined with movement, lack synchronous stimulation of the audio-visual pathway, and ignore the singleness and limitations of the training process, in the first aspect, the present invention proposes an auxiliary rehabilitation method for stroke patients, which is used for a patient hand movement auxiliary device, the patient hand movement auxiliary device is used to be mounted on the patient's hand, the patient hand movement auxiliary device is used to receive and detect the patient's hand force and change its own state based on the patient's hand force, or by applying force to the patient's hand so that the hand reaches a specified hand movement content, the above method includes:

[0009] Detecting physical sign information of the patient's hand, wherein the physical sign information includes joint range of motion information, muscle strength information, and muscle tension information;

[0010] Matching training music for the patient based on the physical sign information of the patient's hand;

[0011] Training instructions are generated according to the rhythm of the training music to perform auxiliary rehabilitation, and the training instructions are used to indicate the content of hand movements.

[0012] Optionally, the hand movement content includes at least one of flexion and extension of multiple metacarpophalangeal joints, finger movement, palm movement, flexion and extension movement of a single finger, finger and digit movement, lateral pinch movement and three-finger pinch movement.

[0013] Optionally, the starting moment of the hand movement required by each training instruction corresponds to the rhythm of the training music.

[0014] Optionally, also include:

[0015] Monitor the patient's heart rate data during training;

[0016] In the event that the heart rate data indicates a sudden increase in the patient's heart rate, an exercise cramp warning is generated.

[0017] Optionally, also include:

[0018] Monitor the patient's hand force during training;

[0019] When it is detected that the pressure value applied by the hand on the device is greater than the preset pressure and the application time is greater than the preset time, a motor cramp warning is generated.

[0020] Optionally, also include:

[0021] In case of receiving a motor cramp warning, query the current assisted rehabilitation mode;

[0022] In the training mode for assisting rehabilitation in which the current assisted rehabilitation mode does not assist the patient's hand in applying force, the application of force to the patient's hand is stopped.

[0023] Optionally, also include:

[0024] When it is detected that the pressure value of the hand force applied to the device is greater than the preset pressure and the application time is greater than the preset time, an opposite force is applied to the patient based on the patient's current hand force to improve the spastic state.

[0025] In a second aspect, the present invention further proposes an auxiliary rehabilitation device for stroke patients, which is used to control a patient's hand movement auxiliary device, wherein the patient's hand movement auxiliary device is used to be mounted on the patient's hand, and the patient's hand movement auxiliary device is used to receive and detect the patient's hand force and change its own state based on the patient's hand force, or to apply force to the patient's hand so that the hand reaches a specified hand movement content, and the stroke patient auxiliary rehabilitation device includes:

[0026] A detection unit, used to detect physical sign information of the patient's hand, wherein the physical sign information includes joint range of motion information, muscle strength information and muscle tension information;

[0027] A matching unit, used for matching training music for the patient based on the physical sign information of the patient's hand;

[0028] The training unit is used to generate training instructions according to the rhythm of the training music to perform auxiliary rehabilitation, and the training instructions are used to indicate the content of hand movements.

[0029] In a third aspect, an electronic device comprises: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor is used to implement the steps of the method for assisting rehabilitation of stroke patients as described in any one of the first aspects above when executing the computer program stored in the memory.

[0030] In a fourth aspect, the present invention further proposes a computer-readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the method for assisting rehabilitation of stroke patients according to any one of the above items in the first aspect is implemented.

[0031] In summary, the assisted rehabilitation method for stroke patients proposed in this application detects the patient's hand physical sign information, which includes joint range of motion information, muscle strength information and muscle tension information; matches training music for the patient based on the patient's hand physical sign information; generates training instructions according to the rhythm of the training music to perform assisted rehabilitation, and the training instructions are used to indicate the content of hand movement. By synchronizing movement instructions with the rhythm of music, the coordinated work of the motor cortex and auditory cortex of the brain can be stimulated. This synchronous activity can strengthen neuromuscular connections, promote neural remodeling, and improve the coordination and accuracy of movement. By collecting the patient's physical sign data in real time, the system can customize the most suitable rehabilitation plan for each patient, and music of different rhythms and styles can be switched according to the patient's specific needs, thereby improving the rehabilitation effect. Traditional rehabilitation training can easily make patients feel monotonous and boring, while rehabilitation training combined with music not only improves the fun, but also increases the patient's concentration and training enthusiasm, making the rehabilitation training process more pleasant.

[0032] The stroke patient auxiliary rehabilitation method of the present invention, other advantages, objectives and features of the present invention will be reflected in part through the following description, and in part will be understood by technicians in this field through research and practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] Various other advantages and benefits will become apparent to those of ordinary skill in the art by reading the detailed description of the preferred embodiments below. The accompanying drawings are only for the purpose of illustrating the preferred embodiments and are not to be considered as limiting the present specification. Also, the same reference symbols are used throughout the accompanying drawings to represent the same components. In the accompanying drawings:

[0034] Figure 1 A schematic diagram of a method for assisting rehabilitation of stroke patients provided in an embodiment of the present application;

[0035] Figure 2 A schematic diagram of the structure of an auxiliary rehabilitation device for stroke patients provided in an embodiment of the present application;

[0036] Figure 3 A schematic diagram of the structure of an electronic device for assisting rehabilitation of stroke patients provided in an embodiment of the present application. DETAILED DESCRIPTION

[0037] The terms "first", "second", "third", "fourth", etc. (if any) in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments described herein can be implemented in an order other than that illustrated or described herein. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices. The technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all of the embodiments.

[0038] In order to solve the problem that the existing rehabilitation devices combining music and gloves often combine single instructions or single music rhythm with movement, lack synchronous stimulation of the audio-visual pathway, and ignore the singleness and limitations of the training process, please refer to Figure 1 , is a flow chart of an assisted rehabilitation method for stroke patients provided in an embodiment of the present application. The above-mentioned assisted rehabilitation method for stroke patients is used for a patient hand movement assisting device, and the patient hand movement assisting device is used to be mounted on the patient's hand. The patient hand movement assisting device is used to receive and detect the patient's hand force and change its own state based on the patient's hand force, or to apply force to the patient's hand to make the hand reach a specified hand movement content. The above-mentioned method may specifically include: steps S110 to S130.

[0039] S110, detecting physical sign information of the patient's hand, wherein the physical sign information includes joint range of motion information, muscle strength information, and muscle tension information.

[0040] It is understandable that the range of motion information refers to the flexibility and range of motion of each joint of the hand. Sensors are used to measure information such as the bending degree and extension angle of the fingers and palms. Muscle strength information refers to the strength of the patient's hand muscles. Pressure sensors are used to detect the force applied by the patient to the hand activity device to determine the state of muscle function. Muscle tension information refers to the tension of the patient's hand muscles and whether there is spasm. Through technologies such as electromyography (EMG) sensors, the tension state of the patient's muscles is monitored in real time.

[0041] For example, the rehabilitation gloves are equipped with multiple sensors to collect hand vital signs in real time, including pressure sensors, angle sensors, accelerometers, electromyography sensors, etc. The collected data will be analyzed by the system in real time. For example, when the system detects that the patient's hand joints have low range of motion and high muscle tension, the system will determine that the patient needs more soothing music to avoid overstimulation.

[0042] S120, matching training music for the patient based on the patient's hand physical sign information.

[0043] Understandably, the choice of music is closely related to the patient's physical signs. For different stages of rehabilitation, the rhythm and style of music need to be adjusted according to the patient's muscle strength and muscle tone. For example: For patients with high muscle tone, soothing, slow-tempo music may be selected to help relieve muscle tension and spasms and encourage gentle movements. For patients with low muscle tone or muscle weakness, faster-tempo music may be selected to help stimulate more range of motion and activity and increase training intensity. The role of training music is not only to enhance the patient's interest in training, but also to synchronize neuromuscular activity and promote neuroplasticity.

[0044] Exemplary, music library selection: Based on the analysis results, the system selects music suitable for the patient's current condition from a pre-set music library. For example, for patients with high tension and limited joint mobility, the system may select classical music with a soothing rhythm to help patients relax their muscles and increase mobility. For patients with low tension who need to increase muscle strength, the system may select music with a faster rhythm, such as fast-paced electronic music or dynamic pop music, to motivate patients to participate more actively in hand training.

[0045] S130, generating training instructions according to the rhythm of the training music to perform auxiliary rehabilitation, wherein the training instructions are used to indicate hand movement content.

[0046] It is understood that based on the selected training music, the system will generate movement instructions that match the rhythm of the music. Through the hand movement device, the patient will receive visual or auditory prompts instructing him to perform hand movements at a specific rhythm. For example, under fast-tempo music, the training instructions may be for the patient to quickly complete the grasping and relaxing movements; while under slow-tempo music, the instructions may require the patient to perform smoother and slower joint movements.

[0047] Exemplarily, the system generates specific hand movement instructions according to the rhythm of the music. These instructions can be transmitted to the patient through the visual or auditory prompt system of the device. For example: Slow-tempo music: prompt the patient to flex and extend the fingers slowly, while the auxiliary device provides gentle assistance appropriately. Fast-tempo music: prompt the patient to quickly grasp and relax the palm, and the auxiliary device provides stronger force feedback to assist in completing the action. The actual operation process can be that at the beginning of rehabilitation training, the patient wears a hand auxiliary device, the device starts to monitor hand activity information in real time, and generates movement instructions based on the rhythm of the music. The patient needs to complete the corresponding hand movement according to the instructions within the specified time. Sensor data will continue to feedback to help adjust the movement mode. For example, if it is detected that the patient has excellent exercise performance under fast-tempo music, the system may gradually increase the training intensity and increase the number of grasps or speed. If fatigue is detected in the patient (through electromyographic signals or heart rate monitoring), the system will automatically lower the rhythm of the music, provide rest intervals or switch to slower music.

[0048] For example, patient A has high muscle tension in his hands and has difficulty in completing hand extension movements on his own. The system detects his electromyographic signals and determines that he needs music with a soothing rhythm. During rehabilitation training, the system selects soothing light music and instructs the patient to perform slow finger extension exercises under the gentle rhythm of the music. The sensor monitors the patient's muscle tension changes in real time. If a spasm is detected, the system will lower the rhythm of the music and stop training to prevent the patient from getting injured.

[0049] For example, patient B has low muscle strength and slow and weak hand movements. The system detects the pressure applied to the auxiliary device and determines that he needs to strengthen his muscle strength. The system then selects music with a faster rhythm and generates quick instructions for grasping and releasing movements. Through the motivation of music, the patient passively and actively cooperates to complete the grasping training, and over time, his muscle strength gradually improves.

[0050] In summary, the stroke patient assisted rehabilitation method provided by the embodiment of the present application obtains the patient identity information of the hospitalized patient, and queries the patient medical record information of the hospitalized patient based on the patient identity information; selects the associated health education content information based on the condition indicated by the patient medical record information; and sends the health education content information to the patient user terminal associated with the patient identity information. Thus, the whole process is based on the individual condition of the patient, and highly personalized health education can be achieved. The information received by the patient is related to his condition, avoiding information overload and ineffective education. Through systematic management and push, patients can obtain the required health knowledge at the right time, improving learning efficiency and knowledge mastery. Automated health education management reduces the time and energy of nursing staff to explain repeatedly, so that they can devote more time to direct nursing work. Digital education content is easy to understand and review, and patients can view it repeatedly as needed, which helps to reduce the anxiety and confusion of patients and improve the overall hospitalization experience. And it can save material costs, reduce the printing and distribution of paper materials, be environmentally friendly and easier to spread, and can be browsed and shared repeatedly.

[0051] According to some embodiments, the hand movement content includes at least one of multiple metacarpophalangeal joint flexion and extension, finger movement, palm movement, flexion and extension movement of a single finger, finger digit movement, lateral pinch movement and three-finger pinch movement.

[0052] In the cited scheme, the synchronization of training instructions with the rhythm of music is a key part in achieving the rehabilitation training effect. The starting moment of the hand movement required by each training instruction corresponds to the rhythm of the music, with the purpose of stimulating the patient's nervous system through the synchronization of rhythm and movement to better promote motor recovery. In some examples, the starting moment of the hand movement required by each training instruction corresponds to the rhythm of the training music.

[0053] It is understandable that the rhythm of music can form a stable time reference in the brain, stimulate the motor control areas in the brain (such as the prefrontal cortex and cerebellum), and thus help coordinate movement. This synchronization of rhythm and movement can promote neuromuscular remodeling and improve the patient's movement accuracy and coordination in rehabilitation training. Closely combining hand movements with the rhythm of music can make it easier for patients to perceive the rhythm of movements under auditory stimulation, thereby improving their ability to control movement time. This method is especially helpful for patients who cannot autonomously adjust the speed of movement due to nerve damage. By synchronizing rhythm and movement, the system can help patients start and end movements at predetermined time points, reducing movement errors caused by the inability to control timing.

[0054] Exemplarily, the rehabilitation system will adjust the rhythm of the training music in real time according to the patient's sports performance and physiological data (such as muscle strength, muscle tension, etc.). The beginning and end of each beat or note will serve as a prompt signal for the patient to start or end the movement. For example, if the patient's joint mobility is small, the system will select slower music and instruct the patient to gradually stretch his fingers according to the rhythm of the music. The system converts the rhythm of the music into specific action instructions. For example, each drum beat in the music may correspond to a flexion or extension of the finger. In the background of the system, the rhythm of the music is divided into several time periods by beat detection, and a specific hand movement instruction is generated in each time period, such as "start grasping" or "start relaxing". The generation of action instructions is also related to the patient's state. For example, when the patient's muscle tension is high, the instruction may require him to complete the action slowly over a longer period of time to avoid excessive tension. After hearing or seeing the corresponding prompt, the patient starts to perform hand movements according to the training instructions. For example, when the music rhythm is fast, the patient needs to quickly complete the grasping or releasing action at each beat. When the music rhythm is slow, the patient needs to complete each action within a longer time interval. The timing of this action is performed by the patient himself, but the system provides a real-time feedback mechanism to monitor whether the patient has completed the instructions within the correct time. If the action is not synchronized with the rhythm of the music, the system can issue a warning and guide the patient to adjust the rhythm. The system dynamically adjusts the music rhythm and training content based on the patient's real-time performance. For example, if the patient has difficulty keeping up with the fast pace, the system can automatically slow down the music to give more reaction time. Similarly, when the patient's motor skills improve, the music rhythm will gradually speed up to adapt to the needs of higher-intensity training.

[0055] Exemplarily, the patient has weak muscle strength, moderate muscle tone, and can perform some autonomous movements of the fingers. The system selects a piece of fast-tempo music with a tempo of 120 bpm (120 beats per minute). The training instructions are to grasp or relax once every two beats. The specific instructions are to start grasping on the first beat and complete grasping on the second beat; start relaxing on the third beat and complete relaxing on the fourth beat. This cycle is repeated. The patient needs to complete each grasping and relaxing movement according to the rhythm of the music. The system uses an accelerometer to detect whether the hand movement is synchronized with the rhythm of the music. If the patient does not complete the grasping movement in time, the system will provide feedback and prompt the patient to make adjustments.

[0056] For example, the patient has high muscle tension, fingers tend to spasm, and joint mobility is limited. The system selects a slow-tempo music of 60bpm to avoid overstimulating the muscles. The training instructions correspond to a slow finger stretching movement for each beat. For example, the finger stretching starts on the first beat, and the fingers are fully stretched on the fourth beat. The entire movement requires the patient to spend 4 beats to complete to prevent spasms caused by rapid movement. The patient starts and stops the movement on each beat, and the entire process of finger stretching is relatively smooth. If the system detects that the patient's finger movement is too fast, it will automatically issue a prompt to slow down.

[0057] It is understandable that by synchronizing the rhythm of music with hand movements, patients can more easily control the timing and rhythm of movement, thereby enhancing motor coordination. Especially for patients with post-stroke neurological damage, the cultivation of a sense of rhythm helps promote the brain's ability to control movement. Through real-time feedback from the system, patients can promptly correct their movements that are not synchronized with the rhythm and reduce movement deviations in rehabilitation training. At the same time, proper rhythm adjustment can prevent patients from fatigue or spasms due to excessive exertion or excessive exercise time. The combination of music rhythm and movement makes the rehabilitation training process more interesting and rhythmic, which can improve the patient's concentration and participation, thereby promoting rehabilitation effects.

[0058] Monitoring heart rate data during rehabilitation training and generating a cramp warning when the heart rate suddenly increases can effectively improve the safety and flexibility of rehabilitation training. This real-time monitoring and warning mechanism reduces the risk of overtraining and cramps, ensures that patients complete rehabilitation training under appropriate physiological loads, and provides timely feedback and adjustments to improve rehabilitation results. In some examples, it also includes:

[0059] Monitor the patient's heart rate data during training;

[0060] In the event that the heart rate data indicates a sudden increase in the patient's heart rate, an exercise cramp warning is generated.

[0061] It is understandable that during rehabilitation training, the patient's heart rate will fluctuate with exercise intensity and emotional changes. In particular, when the patient performs more intense or high-intensity exercise, the heart rate may rise significantly. For patients with nerve damage, a sudden increase in heart rate may usually mean that the body has a stress response or a precursor to muscle spasm. By wearing a heart rate monitoring device (such as a heart rate belt or a heart rate sensor in a glove), the system can monitor the patient's heart rate data in real time. The system sets a heart rate threshold. If the heart rate exceeds the threshold, or there is a sharp upward trend in a short period of time, the system will identify it as a sudden increase in heart rate. When the system detects a sudden increase in heart rate, it can warn the patient that a spasm or other physiological stress response may be imminent. The system will immediately generate a spasm warning and take appropriate measures, such as adjusting the music rhythm, slowing down the training speed, or pausing the training to avoid the risk of excessive tension or spasm in the patient.

[0062] Exemplarily, before the training begins, the patient will wear a heart rate monitoring device that is compatible with the rehabilitation system, and the system will collect heart rate data in real time. The monitoring device can transmit data to the rehabilitation system through wireless technology. Heart rate data is collected once or more per second, and the system will analyze these data to generate a time series diagram of the heart rate, and set an early warning threshold according to the patient's normal heart rate range. The system determines whether there is a sudden increase in heart rate by analyzing the changing trend of the heart rate data. For example, assuming that the patient's resting heart rate is 70bpm (70 beats per minute), the threshold set by the system is that the heart rate exceeds 120bpm or rises by more than 30bpm within 1 minute. During the training process, if the system detects that the heart rate suddenly rises from 80bpm to 130bpm, and there is no trend of gradually falling back, the system will identify it as a sudden increase in heart rate and issue a spasm warning. When a sudden increase in heart rate is detected, the system will automatically generate a spasm warning, which can be fed back to the patient and therapist through vision, hearing or vibration. The system can also perform the following protective measures: automatically reduce the rhythm of music and the intensity of training. For example, the system changes the music from a fast pace to a soothing pace and slows down the speed of hand movements to reduce the patient's physiological stress load. If the heart rate surge is too obvious, the system can immediately stop all movements and suspend training to avoid further physical discomfort or the risk of cramps. The system can use voice or visual prompts to advise patients to relax their hands or take deep breaths to help lower their heart rate. The system records heart rate data throughout the training process and compares and analyzes it with the patient's athletic performance. If the patient experiences a sudden increase in heart rate during multiple training sessions, the system can generate a detailed report to help therapists optimize rehabilitation training programs, adjust the rhythm or intensity, and avoid frequent stress responses.

[0063] For example, the patient is doing high-intensity hand grasping and stretching training, and the music rhythm is 120bpm. The system monitors the patient's heart rate through the heart rate belt and finds that the patient's heart rate rises rapidly from 90bpm to 135bpm, exceeding the preset 120bpm threshold, and the rising speed is fast, which meets the standard of sudden increase in heart rate. The system immediately generates a spasm warning and reduces the music rhythm to 60bpm. At the same time, the patient is prompted to relax his hands and stretch slowly. If the heart rate continues to remain at a high level, the system will automatically pause the training.

[0064] For example, the patient is in a relatively relaxed rehabilitation training, performing finger flexion and extension movements, and the music rhythm is slow. The heart rate rises from 70bpm to 100bpm. Although it does not exceed the absolute heart rate threshold, it has risen sharply in a short period of time, and the system believes that there may be a risk of spasm or excessive fatigue. Spasm warning and intervention: The system detects potential spasm risks through heart rate changes, generates spasm warnings, and prompts patients and therapists to pay attention to possible physiological changes. At the same time, the system automatically lowers the music rhythm and recommends that patients pause training to relieve muscle tension.

[0065] It is understandable that by real-time monitoring of heart rate, the system can warn the patient's physical condition before a spasm occurs, helping to prevent spasms caused by excessive exercise or muscle tension. This early warning mechanism can reduce the discomfort and potential harm caused by overtraining during rehabilitation. Combined with heart rate monitoring and spasm warning, rehabilitation training can be carried out within a safe range to avoid overstimulating the patient's body, making the training process safer. The system can adjust the music rhythm and training intensity in real time according to the patient's heart rate fluctuations to achieve a more personalized rehabilitation training plan. Through feedback from heart rate changes, patients can train at a rhythm that suits them and gradually improve the rehabilitation effect. The system records heart rate data and generates analysis reports to help therapists track patients' physiological responses over the long term, optimize training plans, and make training intensity and rhythm more suitable for patients' rehabilitation progress.

[0066] Monitoring the patient's hand force during training and generating a spasm warning when the pressure value exceeds the preset threshold and the duration exceeds the limit can significantly improve the safety and effectiveness of rehabilitation training. By combining pressure sensors, warning mechanisms, and dynamic adjustment of training intensity, the system can prevent spasms or excessive fatigue in time and ensure the patient's physical health during rehabilitation training. In some examples, it also includes:

[0067] Monitor the patient's hand force during training;

[0068] When it is detected that the pressure value applied by the hand on the device is greater than the preset pressure and the application time is greater than the preset time, a motor cramp warning is generated.

[0069] It is understandable that in rehabilitation training, patients need to apply moderate force according to training instructions to complete designated hand movements, such as grasping or stretching. At this time, the patient's force will fluctuate within a certain range as the rhythm of the movement changes. If the patient is nervous, fatigued or has muscle spasms, the force applied may significantly exceed the preset pressure value, and this excessive pressure may last for a period of time. Especially before the spasm occurs, patients tend to unconsciously exert force for a long time, which may cause injury or hinder the progress of rehabilitation. The system can preset a reasonable hand force pressure threshold based on the patient's muscle strength, muscle tension and other data. For example, for patients with weak muscle strength, the threshold is lower, while for patients with strong muscle strength, the threshold can be appropriately increased. In order to avoid misjudging short-term excessive force as spasm, the system will set a threshold for the duration of force. Only when the pressure value of the force exceeds the threshold and the duration exceeds the preset duration, the system will consider that the patient may have a spasm. When the system detects that the force applied by the patient on the auxiliary device exceeds the preset threshold and the duration is greater than the preset duration, the system will immediately generate a sports spasm warning. Warnings can be transmitted to patients and therapists through visual, auditory or vibration methods, and measures can be taken to adjust or suspend training.

[0070] Exemplarily, a pressure sensor is installed on the rehabilitation glove to monitor the pressure value applied by the patient's hand on the device in real time. The system generates a force curve based on the feedback from the sensor and compares it with the preset pressure threshold. The system records the hand force data in real time, including information such as the intensity, duration and frequency of the force. These data will be used to determine whether there are signs of spasm. The system sets a reasonable pressure threshold and duration based on the patient's rehabilitation status. For example, for patients with weak muscle strength, the system may set a lower threshold, such as 1.5N (Newton). If the force exceeds this value, it may mean excessive force. The duration threshold set by the system may be 3 seconds or 5 seconds, depending on the patient's physical condition and training content. A short period of excessive force (such as less than 1 second) may be an unconscious adjustment, while a long period of force exceeding the threshold may indicate a risk of spasm. When the patient's force exceeds the set threshold and the duration exceeds the preset duration, the system will generate a spasm warning. The warning can be presented in a variety of ways, for example: displaying spasm warning information on the screen of the training device to remind the patient and therapist; prompting the patient to relax his hands through sound; the vibration device embedded in the gloves or auxiliary device vibrates slightly to remind the patient to relax his hands immediately. After generating the warning, the system can take appropriate protective measures to reduce the occurrence of spasms: the system automatically lowers the rhythm of the music and slows down the frequency or amplitude of hand movements. For example, the frequency of grasping is reduced to give the patient more time to relax his hands; if the force is too large and lasts for a long time, the system can suspend training and let the patient rest to prevent further aggravation of the spasm; the system may adjust the type of hand movement and choose a gentler stretching or relaxation movement to avoid further stimulation of the patient's hand muscles.

[0071] For example, the patient is undergoing hand grasping training, and the music rhythm is 90bpm. The pressure threshold set by the system is 2N. During normal grasping, the pressure applied by the patient is usually between 1N and 1.8N. However, during the training process, the system detected that the patient applied 3N of pressure continuously for 5 seconds. The system determines that the patient may be in the pre-spasm stage and immediately generates an early warning. The "spasm warning" prompt appears on the display, and a sound is emitted to remind the patient and therapist. The system automatically lowers the music rhythm to 60bpm and prompts the patient to relax his hands.

[0072] For example, the patient is doing fingertip pinching training, which requires pinching and relaxing on each beat. The pressure threshold set by the system is 1.5N. During the training, the patient suddenly applied more than 2N of pressure, and the duration lasted for more than 4 seconds. The system issued a vibration warning to remind the patient that he may have overexerted himself, and at the same time reduced the training intensity, replacing the pinching action with a softer stretching action to prevent spasms.

[0073] It is understandable that by real-time monitoring of the patient's hand force, the system can issue an early warning before a spasm occurs. Excessive force and prolonged duration are often early signs of spasms, and timely generation of warnings can effectively prevent patients from experiencing spasms or fatigue during training. The spasm warning mechanism can prevent patients from being injured due to inappropriate training intensity by immediately generating prompts when the hand is overexerted. Especially for patients with nerve damage, this mechanism can significantly improve the safety during training. The system can dynamically adjust the training intensity based on the real-time monitoring results of the hand force. By reducing the force requirements, slowing down the training rhythm or changing the exercise content, the system can ensure the continuation of training while avoiding unnecessary spasms or injuries. Through real-time force feedback, patients can more actively adjust their hand force and learn how to train within a moderate range. In the long run, patients can better master the control of hand strength and gradually improve the rehabilitation effect.

[0074] In some examples, this also includes:

[0075] In case of receiving a motor cramp warning, query the current assisted rehabilitation mode;

[0076] In the training mode for assisting rehabilitation in which the current assisted rehabilitation mode does not assist the patient's hand in applying force, the application of force to the patient's hand is stopped.

[0077] It is understood that the system may include an active mode, that is, in certain rehabilitation training modes, the patient mainly relies on autonomous strength to complete the movement of the hand, and the system only provides guidance and feedback, and does not apply external auxiliary force. In this mode, the patient's hand movements are completely controlled by himself. It may also include an auxiliary mode, that is, in other rehabilitation modes, the system will apply external force (such as through pneumatic drive or electric motor) to assist the patient to complete the hand movement, especially for patients with weak muscle function or complete loss of autonomous movement ability. In this mode, the system applies force to the hand continuously and rhythmically. When a motor spasm warning is detected, the system must respond immediately. If the current rehabilitation mode does not provide hand auxiliary force (that is, the patient mainly relies on autonomous force to move), the system will stop any external force to prevent excessive interference with the patient's hand muscles or further aggravation of spasms. If the current mode is an auxiliary force mode, measures such as reducing auxiliary force or suspending force may be taken according to the spasm warning to avoid further spasms or muscle damage caused by continuous external force.

[0078] Exemplarily, during the training process, when the system detects that the patient's hand force is abnormal (such as continuously exceeding the pressure threshold or a sudden increase in heart rate) and generates a spasm warning, the system immediately enters the next step to query the current rehabilitation mode. The spasm warning can be triggered by a hand force sensor, an electromyographic sensor, or a heart rate monitoring device. Once triggered, the system automatically responds and checks the current training status. The system first checks the current rehabilitation training mode to determine whether it is currently in the auxiliary force mode. The auxiliary force mode usually includes an external device (such as air pressure or an electric motor) applying continuous or intermittent external force to the patient's hand to help complete the hand movement. If the system detects that the current mode is an active mode, that is, the patient's hand movement is completely dependent on autonomous force, the system will not apply additional external force. Processing in active mode: If the current rehabilitation mode does not involve auxiliary force (that is, the patient is in autonomous control of movement), the system will immediately stop any force on the patient's hand after receiving the spasm warning. At this time, the system will rely entirely on the patient's own control of movement, and prompt the patient and therapist to relax their hands to avoid further force. For the processing in auxiliary mode: If the system detects that the current mode is the auxiliary force mode, the system will take different measures according to the severity of the spasm. Specifically, the system can moderately reduce the auxiliary force on the patient's hand to avoid applying too much external force to cause further muscle spasm. If the spasm warning is serious, the system will completely stop the external force on the patient's hand and enter the protection mode. At this time, the patient does not need to apply external force to the hand, and the device stops moving to avoid injury due to continuous force. The processing after the spasm warning also includes providing timely feedback to the patient and the therapist. The system can prompt the spasm through sound, vision or vibration, and advise the patient to relax his hand. At the same time, the system will record the rehabilitation mode, force application, heart rate data and other information when the spasm occurs for the therapist to analyze, and adjust the intensity and mode of subsequent training according to the patient's specific situation.

[0079] For example, the patient is performing autonomous finger grasping training, the rehabilitation mode is active mode, and the system does not provide external auxiliary force. The system detects that the patient's hand force continues to exceed the set pressure threshold and the time exceeds 3 seconds. It is judged as a precursor to spasm and generates a spasm warning. The system queries that it is currently in active mode and the patient relies entirely on his own strength to complete the training. Since there is no external force at present, the system only issues a prompt sound or vibration to remind the patient to relax and recommends stopping the grasping action. The system will not apply additional external force to interfere with the patient's movement.

[0080] For example, the patient's hand strength is weak, the system is in auxiliary force mode, and the auxiliary device is driven by air pressure to help the patient complete hand extension training. The system detects that the patient's hand muscles have excessive force, the pressure value exceeds the set threshold, and continues for more than the preset time, and the system generates a spasm warning. The system detects that it is currently in auxiliary force mode and the device is helping the patient to stretch his hand. The system will automatically reduce external force and reduce the strength of hand force. If the spasm is severe, the system will completely stop applying force, stop all movements, and prompt the patient to relax the hand muscles.

[0081] It is understandable that by querying the rehabilitation mode and adjusting the force according to the spasm warning, the system can quickly take appropriate measures when spasms occur to avoid excessive force causing further muscle damage. This mechanism is particularly effective in the auxiliary force mode, which can regulate the external force intensity in real time to ensure the safety of the training process. The system can dynamically adjust the training intensity and external force according to the patient's real-time status and current rehabilitation mode. In active mode, the system will not interfere with the patient's autonomous movement, while in auxiliary mode, the external force can be flexibly adjusted to improve the adaptability and personalization of rehabilitation training. The spasm warning and force control mechanism can significantly improve the safety of patient rehabilitation training, especially in patients with limited motor ability or strong spasm tendency. The system can monitor and adjust the external force in real time to avoid the risks caused by excessive force during rehabilitation training. In active mode, when the system detects a spasm warning, it can avoid applying unnecessary external force to interfere with the patient's autonomous movement. This allows patients to freely control their own exercise rhythm without aggravating the risk of spasm due to external force interference.

[0082] In some examples, this also includes:

[0083] When it is detected that the pressure value of the hand force applied to the device is greater than the preset pressure and the application time is greater than the preset time, an opposite force is applied to the patient based on the patient's current hand force to improve the spastic state.

[0084] It is understandable that spasticity usually manifests as involuntary and continuous muscle contraction, causing the patient to continuously exert force on the hand and find it difficult to relax voluntarily. Long-term spasticity will not only affect the progress of rehabilitation, but may also cause damage to the patient's hand muscles and joints. By applying an external force opposite to the patient's force, the system can help the patient offset excessive tension in the hand. This process is similar to passive stretching in physical therapy, which stretches or relaxes the spastic muscles through external force to help the patient gradually return to normal joint position and muscle state. When the system detects that the hand force exceeds the set threshold, it calculates the force in the opposite direction of the patient's force and gradually applies it with appropriate force. The application of this external force must be gentle enough to avoid secondary injury to the patient, but it also needs to be effective enough to help the patient relieve spasms.

[0085] Exemplarily, the pressure sensor in the rehabilitation device monitors the force applied by the patient's hand in real time. If the patient's force exceeds a preset threshold (such as 2N) and lasts for more than a set time (such as 3 seconds), the system will determine it as a potential risk of spasm. When the patient's force continues to exceed the threshold, the system will trigger a spasm warning and immediately prepare to apply a reaction force to help the patient relieve the spasm. According to the pressure value applied by the patient, the system will calculate the force in the opposite direction of its force. The calculation is based on the force data monitored by the sensor. For example, if the patient is applying a 3N downward gripping force to the device, the system will calculate and apply a 3N upward support force to offset this force. The driver in the rehabilitation device (such as a pneumatic system or an electric motor) will gradually apply a reaction force based on the calculation results. The process of applying this force is gradual, and the system will dynamically adjust the applied force according to the patient's feedback (such as a reduction in force or a change in muscle state) to avoid excessive force. In the process of applying the reaction force, the system will continue to monitor the patient's hand state. If it is detected that the patient's force begins to decrease, it means that the reaction force begins to take effect, and the system may gradually reduce the external force applied until the patient returns to normal. The application of reaction force must follow the principle of safety. The system will set an upper limit for external force to ensure that even if the patient has severe spasms, no external force exceeding the safe range will be applied. The upper limit of force is set based on the patient's physical condition and rehabilitation needs to avoid secondary injury. When the system detects that the patient's hand force has returned to the normal range (that is, the pressure value falls back to the preset range), the application of reaction force will gradually stop and return to the normal rehabilitation training mode. The system can also adjust the intensity and rhythm of the next training according to the frequency and severity of the spasm. For example, if spasms occur frequently, the system may reduce the intensity of rehabilitation training and select lighter music and movement patterns to avoid further aggravating the patient's fatigue and tension.

[0086] For example, the patient is undergoing hand grip training, and the system detects that the patient's hand has applied excessive grip force (4N) for more than 3 seconds. The system calculates a 4N reaction force opposite to the patient's grip direction, and gradually applies it upward through a pneumatic drive device. As the reaction force gradually increases, the patient's grip strength begins to weaken, and the spastic state is relieved. When the system detects that the patient's grip force has fallen back to less than 2N, it is considered that the spastic state has improved, and the system gradually stops the reaction force and returns to the normal grip training mode.

[0087] For example, the patient is performing fingertip pinching training, and the system detects that the patient applies too much force during the pinching process, and the duration exceeds the preset threshold. The system applies a force in the opposite direction of the patient's pinching through an electric motor to help the patient's fingertips slowly separate. As the reaction force is applied, the patient's pinching force gradually decreases, and the spastic state is relieved. After the spasm is relieved, the system recommends that the patient perform fingertip relaxation training to temporarily reduce the intensity of the pinching action to prevent the spasm from being triggered again.

[0088] It is understandable that by applying a reaction force, the system can effectively help patients relieve spasticity. The application of reaction force simulates passive stretching in physical therapy, which can provide necessary external force support when the patient is unable to relax on his own, helping the muscles return to normal. The system can dynamically adjust the applied reaction force according to the patient's real-time feedback to avoid applying excessive force. This gentle mechanical intervention can ensure that patients receive rehabilitation training within a safe range and avoid further damage due to excessive external force. When patients have spasms, they are usually accompanied by greater discomfort and pain. By applying a reaction force, the system can help patients reduce tension and pain in their hands, thereby improving the patient's rehabilitation experience.

[0089] See also Figure 2 , an embodiment of the stroke patient auxiliary rehabilitation device in the embodiment of the present application, the stroke patient auxiliary rehabilitation device is used to control the patient's hand movement auxiliary device, the patient's hand movement auxiliary device is used to be mounted on the patient's hand, the patient's hand movement auxiliary device is used to receive and detect the patient's hand force and change its own state based on the patient's hand force, or by applying force to the patient's hand to make the hand reach a specified hand movement content, the stroke patient auxiliary rehabilitation device includes, may include:

[0090] A detection unit 21 is used to detect physical sign information of the patient's hand, wherein the physical sign information includes joint range of motion information, muscle strength information and muscle tension information;

[0091] A matching unit 22, configured to match training music for the patient based on the physical sign information of the patient's hand;

[0092] The training unit 23 is used to generate training instructions according to the rhythm of the training music to perform auxiliary rehabilitation, and the training instructions are used to indicate the content of hand movements.

[0093] In summary, the stroke patient auxiliary rehabilitation device provided in the embodiment of the present application obtains the patient identity information of the hospitalized patient, and queries the patient medical record information of the hospitalized patient based on the patient identity information; selects the associated health education content information based on the condition indicated by the patient medical record information; and sends the health education content information to the patient user terminal associated with the patient identity information. Thus, the whole process is based on the individual condition of the patient, and highly personalized health education can be achieved. The information received by the patient is related to his condition, which avoids information overload and ineffective education. Through systematic management and push, patients can obtain the required health knowledge at the right time, improving learning efficiency and knowledge mastery. Automated health education management reduces the time and energy of nursing staff to explain repeatedly, so that they can devote more time to direct nursing work. Digital education content is easy to understand and review, and patients can view it repeatedly as needed, which helps to reduce the anxiety and confusion of patients and improve the overall hospitalization experience. And it can save material costs, reduce the printing and distribution of paper materials, be environmentally friendly and easier to spread, and can be browsed and shared repeatedly.

[0094] like Figure 3 As shown, the embodiment of the present application further provides an electronic device 300, including a memory 310, a processor 320, and a computer program 311 stored in the memory 320 and executable on the processor. When the processor 320 executes the computer program 311, the steps of any of the above-mentioned methods for assisting rehabilitation of stroke patients are implemented:

[0095] Detecting physical sign information of the patient's hand, wherein the physical sign information includes joint range of motion information, muscle strength information, and muscle tension information;

[0096] Matching training music for the patient based on the physical sign information of the patient's hand;

[0097] Training instructions are generated according to the rhythm of the training music to perform auxiliary rehabilitation, and the training instructions are used to indicate the content of hand movements.

[0098] Since the electronic device introduced in this embodiment is a device used to implement an auxiliary rehabilitation device for stroke patients in the embodiment of the present application, based on the method introduced in the embodiment of the present application, the technical personnel in this field can understand the specific implementation mode of the electronic device of this embodiment and its various variations. Therefore, how the electronic device implements the method in the embodiment of the present application is not introduced in detail here. As long as the equipment used by the technical personnel in this field to implement the method in the embodiment of the present application is within the scope of protection of this application.

[0099] In the specific implementation process, when the computer program 311 is executed by the processor, it can achieve Figure 1 Any implementation manner in the corresponding embodiment:

[0100] Detecting physical sign information of the patient's hand, wherein the physical sign information includes joint range of motion information, muscle strength information, and muscle tension information;

[0101] Matching training music for the patient based on the physical sign information of the patient's hand;

[0102] Training instructions are generated according to the rhythm of the training music to perform auxiliary rehabilitation, and the training instructions are used to indicate the content of hand movements.

[0103] It should be noted that in the above embodiments, the description of each embodiment has its own emphasis, and for parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0104] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application may adopt the form of a computer program product implemented in one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that include computer-usable program code.

[0105] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded computer, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0106] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0107] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0108] The present application also provides a computer program product, which includes computer software instructions. When the computer software instructions are executed on a processing device, the processing device is caused to execute the following Figure 1 The process of assisted rehabilitation for stroke patients in the corresponding embodiment.

[0109] The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on the computer, the process or function according to the embodiment of the present application is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices. The computer instructions can be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions can be transmitted from a website site, a computer, a server or a data center by wired (e.g., coaxial cable, optical fiber, digital subscriber line (digital subscriber line, DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) mode to another website site, computer, server or data center. The computer-readable storage medium can be any available medium that a computer can store or a data storage device such as a server or a data center that includes one or more available media integration. The available medium can be a magnetic medium, (e.g., a floppy disk, a hard disk, a tape), an optical medium (e.g., a DVD), or a semiconductor medium (e.g., a solid state drive (SSD)), etc.

[0110] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0111] In the several embodiments provided in the present application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of units is only a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces, devices or units, which can be electrical, mechanical or other forms.

[0112] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0113] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0114] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application is essentially or the part that contributes to the prior art or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions to enable a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the various embodiments of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (Read-Only Memory, ROM), random access memory (Random Access Memory, RAM), disk or optical disk and other media that can store program codes.

[0115] The above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A method for assisting rehabilitation of stroke patients, characterized in that: A patient hand movement assisting device is used for being mounted on a patient's hand, and is used for receiving and detecting a force applied by the patient's hand and changing its own state based on the force applied by the patient's hand, or applying force to the patient's hand so that the hand reaches a specified hand movement content, and the method includes: Detecting physical sign information of the patient's hand, wherein the physical sign information includes joint range of motion information, muscle strength information, and muscle tension information; Matching training music for the patient based on the physical sign information of the patient's hand; Training instructions are generated according to the rhythm of the training music to perform auxiliary rehabilitation, and the training instructions are used to indicate the content of hand movements.

2. The method according to claim 1, characterized in that The hand movement content includes at least one of multiple metacarpophalangeal joint flexion and extension, finger movement, palm movement, flexion and extension movement of a single finger, finger digit movement, lateral pinch movement and three-finger pinch movement.

3. The method according to claim 1, characterized in that The starting moment of the hand movement required by each training instruction corresponds to the rhythm of the training music.

4. The method according to claim 1, characterized in that Also includes: Monitor the patient's heart rate data during training; In the event that the heart rate data indicates a sudden increase in the patient's heart rate, an exercise cramp warning is generated.

5. The method according to claim 1, characterized in that Also includes: Monitor the patient's hand force during training; When it is detected that the pressure value applied by the hand on the device is greater than the preset pressure and the application time is greater than the preset time, a motor cramp warning is generated.

6. The method according to claim 4 or 5, characterized in that Also includes: In case of receiving a motor cramp warning, query the current assisted rehabilitation mode; In the training mode for assisting rehabilitation in which the current assisted rehabilitation mode does not assist the patient's hand in applying force, the application of force to the patient's hand is stopped.

7. The method according to claim 5, characterized in that Also includes: When it is detected that the pressure value of the hand force applied to the device is greater than the preset pressure and the application time is greater than the preset time, an opposite force is applied to the patient based on the patient's current hand force to improve the spastic state.

8. A device for assisting rehabilitation of stroke patients, characterized in that: The device is used to control a patient's hand movement assisting device, which is used to be mounted on the patient's hand, and is used to receive and detect the patient's hand force and change its own state based on the patient's hand force, or to apply force to the patient's hand so that the hand reaches a specified hand movement content. The stroke patient auxiliary rehabilitation device includes: A detection unit, used to detect physical sign information of the patient's hand, wherein the physical sign information includes joint range of motion information, muscle strength information and muscle tension information; A matching unit, used for matching training music for the patient based on the physical sign information of the patient's hand; The training unit is used to generate training instructions according to the rhythm of the training music to perform auxiliary rehabilitation, and the training instructions are used to indicate the content of hand movements.

9. An electronic device, comprising: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor is used to implement the steps of the method for assisted rehabilitation of stroke patients as described in any one of claims 1 to 7 when executing the computer program stored in the memory.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the method for assisted rehabilitation of stroke patients according to any one of claims 1 to 7 is implemented.

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